Evidence map›Paper›PMID 23804633›Full record

ArticleJournal of virology2013

Efficacy of parainfluenza virus 5 mutants expressing hemagglutinin from H5N1 influenza A virus in mice.

Zhuo Li, Jon D Gabbard, Alaina Mooney, Zhenhai Chen, S Mark Tompkins, Biao He

Open access · bronzeAbstract read
In one paragraph

Article in Journal of virology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Zhuo LiDepartment of Infectious Diseases, University of Georgia College of Veterinary Medicine, Athens, Georgia, USA.
Jon D Gabbard
Alaina Mooney
Zhenhai Chen
S Mark Tompkins
Biao He
Georgia College & State University · USUniversity of Georgia · US

Funding

Developing a Paramyxovirus-based H5N1 VaccineR01AI070847 · NIAID · UNIVERSITY OF GEORGIA · PI HE, BIAO · 2008 to 2012
$3.1M
NIAID NIH HHS R01 AI070847NIAID NIH HHS R01AI070847
6 · The paper itself

Abstract

Parainfluenza virus 5 (PIV5) is a promising viral vector for vaccine development. PIV5 is safe, stable, efficacious, cost-effective to produce and, most interestingly, it overcomes preexisting antivector immunity. We have recently reported that PIV5 expressing the hemagglutinin (HA) from highly pathogenic avian influenza (HPAI) virus H5N1 (PIV5-H5) provides sterilizing immunity against lethal doses of HPAI H5N1 infection in mice. It is thought that induction of apoptosis can lead to enhanced antigen presentation. Previously, we have shown that deleting the SH gene and the conserved C terminus of the V gene in PIV5 results in mutant viruses (PIV5ΔSH and PIV5VΔC) that enhance induction of apoptosis. In this study, we inserted the HA gene of H5N1 into PIV5ΔSH (PIV5ΔSH-H5) or PIV5VΔC (PIV5VΔC-H5) and compared their efficacies as vaccine candidates to PIV5-H5. We have found that PIV5ΔSH-H5 induced the highest levels of anti-HA antibodies, the strongest T cell responses, and the best protection against an H5N1 lethal challenge in mice. These results suggest that PIV5ΔSH is a better vaccine vector than wild-type PIV5.

Indexed as

AnimalsAntibodies, ViralAntigen PresentationApoptosisChlorocebus aethiopsFemaleGenes, ViralGenetic VectorsHemagglutinin Glycoproteins, Influenza VirusInfluenza A Virus, H5N1 SubtypeInfluenza VaccinesMiceMice, Inbred BALB CMutationOrthomyxoviridae InfectionsParainfluenza Virus 5Antibodies, ViralHemagglutinin Glycoproteins, Influenza VirusInfluenza Vaccines

Identifiers

PMID23804633
PMCPMC3754099
OpenAlexW2119048858

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.